Microsoft Technology Licensing, LLC

Earlence Tezroyd Fernandes

Douglas Christopher Burger

Suman Kumar Nath

Oriana Riva

Systems and methods for extracting and sharing application-related user data are disclosed. A method may include extracting in-app data for at least one of the plurality of apps running on a computing device, the in-app data including content consumed by a user while the at least one app is running, and/or at least one user action taken in connection with the content. Using an entity template associated with the app, a plurality of text strings within the in-app data are classified into at least one of a plurality of data types specified by the template. At least one user data item (UDI) may be generated by combining at least a portion of the classified plurality of text strings, the at least one UDI being accessible by a second app, an operating system running on the, a service of the operating system, and/or a service running on at least another device.

System and method for extracting and sharing application-related user data

Examples of the disclosure enable a plurality of applications to be managed. Some examples include a mobile device that receives a template associated with an application, captures one or more user interactions with the application, and determines one or more user interests by comparing the one or more user interactions with a plurality of entities included in the template. Examples of the disclosure enable the mobile device to analyze the user interactions to provide valuable information about user interest, preference, and/or intent and provide tailored services to a user.

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Ann Arbor, MI, United States of America

Earlence Tezroyd Fernandes